Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-15T02:21:04.383Z Has data issue: false hasContentIssue false

The role of simulation in automatic flight control systems research

Published online by Cambridge University Press:  04 July 2016

R. A. Prasad
Affiliation:
Department of Transport Technology, University of Technology, Loughborough
S. L. A. Saoullis
Affiliation:
Department of Transport Technology, University of Technology, Loughborough
L. Tsitsilonis
Affiliation:
Department of Transport Technology, University of Technology, Loughborough

Extract

Of all the branches of engineering, we regard aeronautical engineering as that which most needs simulation as an essential element of its constitution. Not even by choice may an aeronautical engineer be unfamiliar with simulation, for its advantages in the phases of design, production, and operation of aircraft are recognised by every aeronautical organisation, and its effectiveness, either in producing acceptable answers to flight problems, or in demonstrating flight characteristics, is the authority by which academics can insist upon the inclusion of the elements of simulation in their syllabuses. It is our belief that simulation has come to occupy this central position mainly as a result of the fundamental problems of safe flight.

Type
SYMPOSIUM ON “Is Flight simulation of academic interest?”
Copyright
Copyright © Royal Aeronautical Society 1980 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Marshall, S. A. and Nicholson, H. Optimal control of linear multivariable systems with quadratic performance criteria. Proc 1EE, 117(8), pp 1705-1713, 1970.Google Scholar
2. Kwakernaak, H. and Sivan, R. Linear optimal control systems. Wiley Interscience, 1972.Google Scholar
3. Potter, J. E. Matrix quadratic solutions. SIAM Jnl App Maths, 14(3), pp 496501, 1966.Google Scholar
4. SLAM Manual. ICL Computers Ltd, 1974.Google Scholar
5. Von Karman, T. Fundamentals of the statistical theory of turbulence. J Aero Sci, 4(2), pp 31138, 1937.Google Scholar
6. Nissim, E. Flutter suppression and gust alleviation using active controls. TAE Report 198, Technion, Haifa, Israel, 1974.Google Scholar
7. Taylor, G. I. Statistical theory of turbulence. J Aero Sci, 4(8), pp 311315, 1937.Google Scholar
8. Williford, J. R. Special problems in helicopter handling qualities as influenced by ASW requirements. The Society of Experimental Test Pilots Tech Review, 10(3), pp 3134, 1971.Google Scholar
9. Prabhakar, A. and Sheldon, D. F. Dynamic stability of a helicopter carrying an underslung load. RMCS Technical Note AM-78, August 1976.Google Scholar
10. Tsitsilonis, L. and Mcclean, D. Station keeping control system for a helicopter with a suspended load. Trans Inst MC, 1980 (to be published).Google Scholar
11. Saoullis, S. L. A. An optimal ride control system for an executive jet aircraft. MSc Thesis, Loughborough University, 1980.Google Scholar
12. Harvey, C. A. and Pope, R. E. Study of synthesis techniques for insensitive aircraft control systems. NASA CR-2803, April 1977.Google Scholar
13. Mclean, D. and Prasad, R. A. A structural load alleviation control system for a large aircraft. Trans Inst MC, 1980 (to be published).Google Scholar